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Cited by 122Mobile Health and mHealth ApplicationsICT in Developing CommunitiesMobile Learning in Education

The DOI matches its Crossref record; 67 of the 68 references it cites were found in a registry or an index.

Use of Mobile Health (mHealth) Technologies and Interventions Among Community Health Workers Globally: A Scoping Review

Early, Jody, Gonzalez, Carmen, Gordon-Dseagu, Vanessa, Robles-Calderon, Laura·2019·Health Promotion Practice
DOI 10.1177/1524839919855391
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Abstract

There is mounting evidence to show that community health workers (CHWs) play a positive role in improving population health by connecting people to information, resources, and services. However, barriers faced by CHWs include not being able to access information quickly and in a language tailored to the communities they serve. Mobile health (mHealth) shows promise of bridging this gap. Although there are a number of studies published on mHealth interventions, there is a need to synthesize the literature specific to mHealth and CHWs globally. Therefore, the primary goals of this review are to identify and describe over ten years of studies on the use, effectiveness, and potential of mHealth involving CHWs. Findings provide evidence-based strategies for designing and implementing mHealth tools for and with CHWs. We used criteria and methodology for scoping reviews established by the Joanna Briggs Institute as well as PRISMA protocols. We searched scholarly databases for peer-reviewed articles published between 2007 and 2018. The initial search yielded 207 published articles; after applying inclusion criteria, the sample totaled 64. While research about mHealth use among CHWs is still emerging, we found out that large-scale, longitudinal, and clinical studies are lacking. The existing evidence indicates that interventions, which include both CHWs and mHealth tools, are effective. Challenges include the scarcity of culturally relevant mHealth interventions, lack of a consistent methodology to assess mHealth outcomes, the need for effective training for CHWs to adopt mHealth tools, and improved communication within health care teams working with CHWs.

Overview

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Crossref · 10.1177/1524839919855391

Cites

67 of 67 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 68 references

Research works printed but not linked: 3

  1. Cherrington A., 2010, Ethnicity & Disease, 20, 189
  2. Global Health Workforce Alliance, & World Health Organization, 2010, Global experience of community health workers for delivery of health related millennium development goals: A systematic review, country case studies, and recommendations for integration into National Health Systems
  3. Ngabo F., 2012, Pan African Medical Journal, 13, 31

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Related

Metadata

Authors
Early, J., Gonzalez, C., Gordon-Dseagu, V., & Robles-Calderon, L.
Affiliations
  • University of Washington Bothell (US)
  • University of Washington, Seattle, WA, USA
  • National Institutes of Health (US)
  • University of Washington (US)
Corresponding author
Early, Jody
ORCID
Venue
Health Promotion Practice
Publisher
SAGE Publications
Published
2019-06-10
Volume
20
Issue
6
Pages
805-817
ISSN
  • 1524-8399 (ISSN-L)
  • 1552-6372
DOI
10.1177/1524839919855391
OpenAlex
W2949765209
Cited by
122
References
68
Citations by year
2026: 16 · 2025: 19 · 2024: 23 · 2023: 17 · 2022: 24 · 2021: 12 · 2020: 11
FWCI
16.10
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • Health Promotion Practice (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords
mobile health, community health workers, mobile health intervention, culturally sensitive interventions, CHW training, health care team communication, population health
MeSH terms
Attitude of Health Personnel, Community Health Workers, Community Health Services, Humans, Telemedicine, Health Information Systems

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